机译:使用FarsNet本体的波斯文本聚类新体验
Department of Information and Communication Technology South Pars Gas Complex Asalouyeh, I.R. Iran,Department of Computer Engineering, School of Engineering SheikhBahaee University Isfahan, I.R. Iran;
Department of Computer Engineering, Faculty of Engineering Isfahan University Isfahan, I.R. Iran;
Department of Computer Engineering, Faculty of Engineering Ferdowsi University of Mashhad Mashhad, I.R. Iran;
Department of Computer Engineering and Mathematics, Faculty of Engineering Kingston University London, KT12EE UK;
Department of Computer Engineering, School of Engineering SheikhBahaee University Isfahan, I.R. Iran;
text clustering; word sense disambiguation; semantic analysis; FarsNet lexical ontology; probabilistic latent semantic indexing;
机译:基于本体的粒子群优化聚类技术的文本预测文本挖掘方法
机译:基于本体的文本文档集群进行体育
机译:使用本体和稀疏聚类的改进过程进行文本解释
机译:使用波斯词库改进波斯语文本分类和聚类
机译:使用VSM,LSI和文档本体模型进行本体生成和文本聚类的比较研究。
机译:如何将本体论和蛋白质之间的相互作用与文献联系:文本挖掘方法和BioCreative经验
机译:基于域本体论和概念聚类的文本相似性计算